以M5StickCPlus內建感測器實作溫度的精密量測與探討

Abstract

中文摘要 以精密量測之課程所學為整體，結合實作及理論，系統性的完成數據量測及分析。透過M5StickCPlus硬件內設之各項感測器量測並收集數據而後配合Matlab工具完成數據之分析。 (1) 目的：說明此論文的目的或主要想解決的問題。 本團隊期望在這次研究計畫中，透過M5StickC+以C++程式編寫認識ESP32開發板、感測器規格與利用並完成對於數據收集及曲線擬合(基礎機器學習)的認識。同時於過程中充分了解研究報告之撰寫、資料查詢等基本能力。 (2) 過程及方法：說明主要工作過程及所用方法，使用的主要設備和儀 器等。 M5 stickC+ 對應溫度的時域量測訊號： 於同學租屋處中進行暖暖包升溫量測。 於同學租屋處中進行室溫量測。 量測時間：P.M.7:00－P.M.8:00 2023/01/04 (3) 結果：說明此研究過程最後得出的結果和結論，如有可能，可以提出該結論和結果的應用範圍和情況。 M5內建的溫度感測器會有極端嚴重的散熱失效問題，以致M5運作時常達一定長度後，其溫度感測數值會高常溫約30至40攝氏度的極端誤差。然而依然可以在兩次測試中看出其感測器依然有量測升降溫的能力。不過在量測室溫時量測溫度依然會呈現上升趨勢，而其趨勢都可以成功的以Matlab擬合工具運算出其結果。

Abstract Based on the knowledge learned from the precision measurement course, this project combines theory and practical work to systematically complete data measurement and analysis. Through using various sensors within the M5StickCPlus hardware to collect data and then analyzing the data with Matlab tools, the team aims to gain an understanding of the ESP32 evaluation board, sensor specifications, and basic machine learning techniques for data collection and curve fitting. At the same time, the team hopes to improve their basic abilities in writing research reports and conducting data searches. The main work process and methods used, as well as the main equipment and instruments used, are explained. In this project, the M5 StickCPlus was used to measure temperature in real-time. The team conducted temperature measurements on a warm pack and in a room at their classmates' rental house from 7:00 PM to 8:00 PM on January 4, 2023. The study found that the built-in temperature sensor in the M5StickCPlus has a serious heat dissipation failure issue. As a result, after the M5 operates for a certain period of time, the temperature sensor reading can be off by as much as 30-40 degrees Celsius higher than the actual temperature. However, the sensor's ability to measure temperature changes can still be observed in both tests. Nonetheless, when measuring the room temperature, the temperature showed an upward trend, but the trend could be successfully fitted using Matlab tools.